BANSMDA: a computational model for predicting potential microbe-disease associations based on bilinear attention networks and sparse autoencoders [PDF]
IntroductionPredicting the relationship between diseases and microbes can significantly enhance disease diagnosis and treatment, while providing crucial scientific support for public health, ecological health, and drug development.MethodsIn this ...
Xianzhi Liu +6 more
doaj +2 more sources
Keynote lecture. Towards reliability-management for debris flow risk assessment [PDF]
Recent progress in data-integrated simulation methods excelled our understanding of debris flows including triggering mechanisms and dynamic run-out behavior.
Kowalski Julia, Zhao Hu, Yildiz Anil
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Elements of future snowpack modeling – Part 2: A modular and extendable Eulerian–Lagrangian numerical scheme for coupled transport, phase changes and settling processes [PDF]
A coupled treatment of transport processes, phase changes and mechanical settling is the core of any detailed snowpack model. A key concept underlying the majority of these models is the notion of layers as deforming material elements that carry the ...
A. Simson +4 more
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Computational Models in Electroencephalography [PDF]
AbstractComputational models lie at the intersection of basic neuroscience and healthcare applications because they allow researchers to test hypotheses in silico and predict the outcome of experiments and interactions that are very hard to test in reality.
Katharina Glomb +5 more
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Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties [PDF]
Tropospheric ozone is a toxic greenhouse gas with a highly variable spatial distribution which is challenging to map on a global scale. Here, we present a data-driven ozone-mapping workflow generating a transparent and reliable product.
C. Betancourt +9 more
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A computational model of neurodegeneration in Alzheimer’s disease
Disruption of mental functions in Alzheimer’s disease (AD) and related disorders is accompanied by selective degeneration of brain regions. These regions comprise large-scale ensembles of cells organized into systems for mental functioning, however the ...
D. Jones +14 more
semanticscholar +1 more source
The Hubbard Model: A Computational Perspective [PDF]
The Hubbard model is the simplest model of interacting fermions on a lattice and is of similar importance to correlated electron physics as the Ising model is to statistical mechanics or the fruit fly to biomedical science.
M. Qin +4 more
semanticscholar +1 more source
Cancer stem cells (CSCs) usually account for a very small tumor cell population but play pivotal roles in human cancer development and recurrence. A fundamental question in cancer biology is what genetic and epigenetic changes occur in CSCs. Here we show
Dan Liu +11 more
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A cosmological model with time dependent Λ, G and viscous fluid in general relativity
In this paper, we investigate Bianchi type − V cosmological models with bulk viscous fluid and time varying cosmological Λ and Newtonian G parameters.
Rishi Kumar Tiwari +6 more
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The ATLAS computing model [PDF]
The ATLAS Offline Computing Model is described. The main emphasis is on the steady state, when normal running is established. The data flow from the output of the ATLAS trigger system through processing and analysis stages is analysed, in order to estimate the computing resources, in terms of CPU power, disk and tape storage and network bandwidth ...
BARBERIS, DARIO, JONES R.
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